Cloudera Educational Services

Overview Take your knowledge to the next level with Cloudera Training for Apache HBase. Cloudera Educational Services’ three-day training course enables participants to store and access massive quantities of multi-structured data and perform hundreds of thousands of operations per second. Download full course description Hands-on Hadoop Through instructor-led discussion and interactive, hands-on exercises, participants will navigate the Hadoop ecosystem, learning topics such as: The use cases and usage occasions for HBase, Hadoop, and RDBMS Using the HBase shell to directly manipulate HBase tables Designing optimal HBase schemas for efficient data storage and recovery How to connect to HBase using the Java API to insert and retrieve data in real time Best practices for identifying and resolving performance bottlenecks Audience and prerequisites This course is appropriate for developers and administrators who intend to use HBase. Prior experience with databases and data modeling is helpful, but not required. Knowledge of Java is assumed. Prior knowledge of Hadoop is not required, but Cloudera Developer Training for Spark and Hadoop provides an excellent foundation for this course.   DATE: October 7-9, 2026 9:30 - 17:30 (SGT TIMEZONE) Virtual Classroom, APAC Read more

About This Training Apache HBase is a distributed, scalable, NoSQL database designed for real-time read/write access to large datasets. Built on top of HDFS, it brings low-latency random access to Hadoop-scale data. This course covers HBase architecture, data modeling, read/write internals, deployment, high availability, tuning, security, troubleshooting, and advanced topics like Phoenix, HBCK2, and YCSB benchmarking. What Skills You Will Gain Understanding HBase architecture and its role in the Cloudera Operational Database Deploying and configuring HBase clusters for high availability Designing effective HBase schemas for scalable, real-time workloads Analyzing and optimizing HBase write and read paths Tuning HBase performance through memory management, caching, and compaction Securing HBase with authorization policies in Ranger Monitoring and troubleshooting clusters using HBCK2 and diagnostic tools Performing data backup, recovery, and cluster migration Querying HBase tables using Apache Phoenix and its advanced features Benchmarking performance with the YCSB tool Managing medium-sized objects (MOBs) efficiently   ​Who Should Take This Course? This course is designed for administrators and data engineers who manage or support Apache HBase deployments in production environments. It is also valuable for DevOps professionals involved in performance tuning, monitoring, and troubleshooting databases. Prior experience with HDFS and ZooKeeper is recommended. Students must have Internet access to connect to the hands-on lab environments. ___________________________________________________________________ DATE: September 2-4, 2026 9:30 - 17:30 (SGT TIMEZONE) Virtual Classroom, APAC Read more

This four-day course teaches the architecture, deployment, and configuration of Cloudera Data Services on Embedded Containerized Services (ECS). Cloudera Data Services provide a state-of-the-art, low- code platform that unifies the entire data lifecycle, reducing development costs and accelerating the development and deployment of use cases.   The course starts by covering best practices for managing Docker images and containers. Students will then build a Docker private registry. This Docker private registry will be used to deploy a Data Services cluster on ECS. Students will install, configure, and validate Cloudera Data Engineering, Cloudera Data Warehouse, and Cloudera Machine Learning. Through hands-on exercises, students will gain experience with Kubernetes, install a Private Cloud Embedded Container Service (ECS), and deploy Cloudera Data Services. Additionally, the course covers networking and hardware requirements and explains how Kubernetes pods dynamically scale to support Cloudera Data Services. Who should take this course This immersive course is designed for Cloudera Administrators transitioning to managing Cloudera Data Services on premises. Students should have at least 3 to 5 years of system administration experience. Students must have proficiency in the Linux Command Line Interface and knowledge of Identity Management, including Transport Layer Security and Kerberos. Familiarity with SQL select statements is recommended. Prior experience with Cloudera products is required. Students need reliable internet access to connect to the Amazon Web Services environment used in this course. Recommended prerequisite courses • ADMIN-230: Administering Cloudera on premises • ADMIN-332: Securing Cloudera on premises   DATE: September 15-18, 2026 9:30 - 17:30 (SGT TIMEZONE) Virtual Classroom, APAC Read more

Enterprise data science teams need collaborative access to business data, tools, and computing resources required to develop and deploy machine learning workflows. Cloudera AI, part of the Cloudera platform, provides the solution, giving data science teams the required resources. This four-day course covers machine learning workflows and operations using Cloudera AI. Participants explore, visualize, and analyze data. You will also train, evaluate, and deploy machine learning models. The course walks through an end-to-end data science and machine learning workflow based on realistic scenarios and datasets from a fictitious technology company. The demonstrations and exercises are conducted in Python (with PySpark) using Cloudera AI. Download full course description     DATE: August 25-28, 2026 9:30 - 17:30 (SGT TIMEZONE) Virtual Classroom, APAC Read more

This four-day course teaches the architecture, deployment, and configuration of Cloudera Data Services on Embedded Containerized Services (ECS). Cloudera Data Services provide a state-of-the-art, low- code platform that unifies the entire data lifecycle, reducing development costs and accelerating the development and deployment of use cases.   The course starts by covering best practices for managing Docker images and containers. Students will then build a Docker private registry. This Docker private registry will be used to deploy a Data Services cluster on ECS. Students will install, configure, and validate Cloudera Data Engineering, Cloudera Data Warehouse, and Cloudera Machine Learning. Through hands-on exercises, students will gain experience with Kubernetes, install a Private Cloud Embedded Container Service (ECS), and deploy Cloudera Data Services. Additionally, the course covers networking and hardware requirements and explains how Kubernetes pods dynamically scale to support Cloudera Data Services. Who should take this course This immersive course is designed for Cloudera Administrators transitioning to managing Cloudera Data Services on premises. Students should have at least 3 to 5 years of system administration experience. Students must have proficiency in the Linux Command Line Interface and knowledge of Identity Management, including Transport Layer Security and Kerberos. Familiarity with SQL select statements is recommended. Prior experience with Cloudera products is required. Students need reliable internet access to connect to the Amazon Web Services environment used in this course. Recommended prerequisite courses • ADMIN-230: Administering Cloudera on premises • ADMIN-332: Securing Cloudera on premises     DATE: July 20-23, 2026 9:00 - 17:00 (CEST TIMEZONE) Virtual Classroom, EMEA Read more

This course introduces Apache Iceberg, a high-performance open table format for organizing petabyte-scale analytic datasets on a file system or object store, available on Cloudera Data Warehouse and Cloudera Data Engineering on both Private and Public Cloud. Combined with Cloudera Data Platform, Iceberg can enable users to build an open data lakehouse architecture for multi-function analytics and to deploy large-scale end-to-end pipelines. This course covers various aspects of Apache Iceberg, such as benefits, architecture, internal operation, read and write operations, and advanced functions, all while drawing comparisons to Hive and building on the students’ existing knowledge and experience. DATE: August 17-20, 2026 9:00 - 17:00 (CEST TIMEZONE) Virtual Classroom, EMEA Read more